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FER2013

Facial Expression Recognition 2013 Dataset

홈페이지 · 논문 168편

Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of it can be divided into 7 types: 0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral. The Disgust expression has the minimal number of images – 600, while other labels have nearly 5,000 samples each. Source: Eavesdrop the Composition Proportion of Training Labels in Federated Learning Image Source: https://medium.com/@birdortyedi_23820/deep-learning-lab-episode-3-fer2013-c38f2e052280

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벤치마크

Facial Expression Recognition (FER) on FER2013 결과 102개
Emotion Recognition on FER2013 결과 3개
Facial Expression Recognition on FER2013 결과 3개
Image Clustering on FER2013 결과 1개
Image Compression on FER2013 결과 1개